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Alison Callahan is an Instructor at the Center for Biomedical Informatics at Stanford Health Care. Her research primarily focuses on utilizing informatics to enhance data accessibility regarding pregnancy and birth, alongside developing and maintaining an EHR-derived obstetric database. As a co-leader of the OHDSI Perinatal & Reproductive Health working group, she emphasizes the evaluation of high-value machine learning applications in healthcare settings. Callahan completed her PhD in Biology at Carleton University in Ottawa, Canada, where her doctoral research resulted in the development of HyQue, a framework designed for representing and evaluating scientific hypotheses to uncover genes linked to aging. She is also a key developer of Bio2RDF, an open-source project that aids in creating the largest network of Linked Data within life sciences. Her postdoctoral experience at Stanford involved applying methodologies developed during her PhD research to model spinal cord injury in both organisms and humans, working collaboratively with scientists from the University of Miami.
Patent related to techniques for rapid cohort analysis in data science applications.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.